Year: 2007
Type: dissertation
Abstract: Software monitoring and logging is one of the most important tools a software \nengineer has when faced with the challenge of auditing or analysing a software \nsystem. However, the difficulty in effectively monitoring a system, managing its \nlogs and cross referencing them with source code makes software re-engineering a \nrigorous and complex task. This thesis aims to address this issue by providing \na framework that enables pattern matching between a software log and an event \npattern expression that is based on a monitoring policy. The framework consists of \nparsers and annotators that facilitates transformation of a monitoring policy into \na Petri Net as well as source code annotation for gathering data through logged \nevents. It further expands upon this work by proposing an adaptive logging framework \nthat will greatly improve the quality of log management by autonomically \nadjusting the amount of information logged based on the application’s operational \nenvironment. Finally, a prototype system of the policy driven monitoring framework \nis implemented and tested with applications of different scales as a proof of \nconcept for the proposed framework.
Source: UWSpace (University of Waterloo)
Author: Yat Fai Alfred Wong
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2531875685